Gesture spotting from continuous hand motion
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Lee, HK | ko |
| dc.contributor.author | Kim, JinHyung | ko |
| dc.date.accessioned | 2009-12-02T02:02:54Z | - |
| dc.date.available | 2009-12-02T02:02:54Z | - |
| dc.date.created | 2012-02-06 | - |
| dc.date.created | 2012-02-06 | - |
| dc.date.issued | 1998-04 | - |
| dc.identifier.citation | PATTERN RECOGNITION LETTERS, v.19, no.5-6, pp.513 - 520 | - |
| dc.identifier.issn | 0167-8655 | - |
| dc.identifier.uri | http://hdl.handle.net/10203/13886 | - |
| dc.description.abstract | This paper proposes a new method of gesture spotting based on the Hidden Markov Model (HMM) that extracts meaningful gestures from continuous hand motion. To remove non-gesture patterns from input patterns, we introduce the threshold model that calculates the threshold likelihood of the input pattern and helps to qualify an input pattern as a gesture. The proposed method extracts gestures with 93.38% reliability. (C) 1998 Elsevier Science B.V. All rights reserved. | - |
| dc.language | English | - |
| dc.language.iso | en_US | en |
| dc.publisher | ELSEVIER SCIENCE BV | - |
| dc.title | Gesture spotting from continuous hand motion | - |
| dc.type | Article | - |
| dc.identifier.wosid | 000075054100016 | - |
| dc.identifier.scopusid | 2-s2.0-0032042510 | - |
| dc.type.rims | ART | - |
| dc.citation.volume | 19 | - |
| dc.citation.issue | 5-6 | - |
| dc.citation.beginningpage | 513 | - |
| dc.citation.endingpage | 520 | - |
| dc.citation.publicationname | PATTERN RECOGNITION LETTERS | - |
| dc.embargo.liftdate | 9999-12-31 | - |
| dc.embargo.terms | 9999-12-31 | - |
| dc.contributor.localauthor | Kim, JinHyung | - |
| dc.contributor.nonIdAuthor | Lee, HK | - |
| dc.type.journalArticle | Article | - |
| dc.subject.keywordAuthor | pattern recognition | - |
| dc.subject.keywordAuthor | gesture spotting | - |
| dc.subject.keywordAuthor | hidden Markov model | - |
| dc.subject.keywordAuthor | segmentation | - |
| dc.subject.keywordAuthor | threshold model | - |
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